o

# MPEBeliefPropagation 

### Companion class MPEBeliefPropagation

#### object MPEBeliefPropagation

Linear Supertypes
AnyRef, Any
Ordering
1. Alphabetic
2. By Inheritance
Inherited
1. MPEBeliefPropagation
2. AnyRef
3. Any
1. Hide All
2. Show All
Visibility
1. Public
2. All

### Value Members

1. final def !=(arg0: Any): Boolean
Definition Classes
AnyRef → Any
2. final def ##(): Int
Definition Classes
AnyRef → Any
3. final def ==(arg0: Any): Boolean
Definition Classes
AnyRef → Any
4. def apply(dependentUniverses: List[(Universe, List[NamedEvidence[_]])], dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double)(implicit universe: Universe)

Create a most probable explanation computer using Anytime BP using the given dependent universes in the current default universe.

Create a most probable explanation computer using Anytime BP using the given dependent universes in the current default universe. Use the given dependent algorithm function to determine the algorithm to use to compute probability of evidence in each dependent universe.

5. def apply(dependentUniverses: List[(Universe, List[NamedEvidence[_]])], dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double, myIterations: Int)(implicit universe: Universe): MPEBeliefPropagation with OneTimeProbabilisticBeliefPropagation with OneTimeMPE { val iterations: Int }

Create a most probable explanation computer using One time BP using the given dependent universes in the current default universe.

Create a most probable explanation computer using One time BP using the given dependent universes in the current default universe. Use the given dependent algorithm function to determine the algorithm to use to compute probability of evidence in each dependent universe.

6. def apply(dependentUniverses: List[(Universe, List[NamedEvidence[_]])])(implicit universe: Universe)

Create a most probable explanation computer using Anytime BP using the given dependent universes in the current default universe.

7. def apply(dependentUniverses: List[(Universe, List[NamedEvidence[_]])], myIterations: Int)(implicit universe: Universe): MPEBeliefPropagation with OneTimeProbabilisticBeliefPropagation with OneTimeMPE { val iterations: Int }

Create a most probable explanation computer using One time BP using the given dependent universes in the current default universe.

8. def apply()(implicit universe: Universe)

Create a most probable explanation computer using Anytime BP in the current default universe.

9. def apply(myIterations: Int)(implicit universe: Universe): MPEBeliefPropagation with OneTimeProbabilisticBeliefPropagation with OneTimeMPE { val iterations: Int }

Create a most probable explanation computer using One time BP in the current default universe.

10. final def asInstanceOf[T0]: T0
Definition Classes
Any
11. def clone(): AnyRef
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
12. final def eq(arg0: AnyRef): Boolean
Definition Classes
AnyRef
13. def equals(arg0: Any): Boolean
Definition Classes
AnyRef → Any
14. def finalize(): Unit
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
15. final def getClass(): Class[_]
Definition Classes
AnyRef → Any
16. def hashCode(): Int
Definition Classes
AnyRef → Any
17. final def isInstanceOf[T0]: Boolean
Definition Classes
Any
18. final def ne(arg0: AnyRef): Boolean
Definition Classes
AnyRef
19. final def notify(): Unit
Definition Classes
AnyRef
20. final def notifyAll(): Unit
Definition Classes
AnyRef
21. final def synchronized[T0](arg0: ⇒ T0): T0
Definition Classes
AnyRef
22. def toString(): String
Definition Classes
AnyRef → Any
23. final def wait(): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )
24. final def wait(arg0: Long, arg1: Int): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )
25. final def wait(arg0: Long): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )